Research Engineer - Generative Agent for Game Worlds

Responsibilities

• Research and implement LLM-based agent models for autonomous behavior and interaction of virtual characters in games
• Research and implement agent models/harnesses for game content generation and expansion
• Optimize inference and serving for real-time constraints and large-scale operating environments
• Perform performance verification for serving pipelines

Requirements

• Currently pursuing a Master's or PhD in AI, Computer Science, or a related technical field
• Ability to quickly understand LLM/Deep Learning papers and translate hypotheses into experiments
• Ability to adapt quickly to new domains
• Strong communication skills for collaborative work

Preferred Qualifications

• Experience publishing papers in top-tier AI/ML conferences (NeurIPS, ICLR, ICML, ACL, AIIDE, etc.)
• Research or development experience in LLM Agents, Multi-agent Systems, or Tool-use
• Experience with LLM inference optimization (serving, quantization, KV cache, etc.)
• Experience or strong interest in applying AI to game or simulation environments
• Excellent communication skills for collaborating with non-technical roles (Game Design, Art, Business, etc.)

About the Company

KRAFTON AI Research Division is building the next generation of game production paradigms centered around Large Language Models (LLM). We aim to increase game production efficiency and create new play experiences through deep learning technology and Co-Playable Characters.